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Record W4395014398 · doi:10.1063/5.0195317

Fully resolved simulation of spherical and non-spherical particles in a turbulent channel flow

2024· article· en· W4395014398 on OpenAlexaff
Mohammad Giahi, Donald J. Bergstrom

Bibliographic record

VenuePhysics of Fluids · 2024
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhysicsTurbulenceMechanicsParticle-laden flowsParticle (ecology)Classical mechanicsVortexFlow (mathematics)Open-channel flowFlow visualizationImmersed boundary methodBoundary (topology)Reynolds numberMathematical analysis

Abstract

fetched live from OpenAlex

This paper investigates the behavior of finite-size particles in a turbulent channel flow using a custom direct numerical simulation solver within the FOAM-Extend framework. The solver integrates the cut-cell immersed boundary module with a Lagrangian particle-tracking subroutine capable of simulating the motion of both spherical and non-spherical particles. The study investigates the complex interactions between particles and turbulent structures, offering insights into how particle shape and orientation affect their behavior within the flow field. Additionally, it examines the collision dynamics of two spherical particles in a turbulent channel. The simulations reveal that particle shape significantly influences particle trajectories, rotation, and their interactions with turbulent structures. The Q-criterion visualization showed the creation of hairpin and vortex ring structures shed by the particles. Finally, the close proximity and collision of particles was shown to significantly modify the flow pattern and particle dynamics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.249
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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